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PMAM 2020 : International Workshop on Programming Models and Applications for Multicores and Manycores


When Feb 22, 2020 - Feb 26, 2020
Where San Diego, California, USA
Submission Deadline Dec 9, 2019
Notification Due Jan 15, 2020
Final Version Due Feb 1, 2020
Categories    programming models   multicores   manycores   applications

Call For Papers

PMAM 2020
The 11th International Workshop on Programming Models and Applications for Multicores and Manycores
to be held in conjunction with
PPoPP 2020

February 22-26, 2020
San Diego, California, USA

Rapid advancements in multicore and chip-level multi-threading technologies open new challenges and make multicore systems a part of the computing landscape. From high-end servers to mobile phones, multicores and manycores are steadily entering every single aspect of the information technology.

However, most programmers are trained in sequential programming, yet most existing parallel programming models are prone to errors such as data race and deadlock. To fully utilize multicore and manycore hardware, parallel programming models that allow easy transition of sequential programs to parallel programs with good performance and enable development of error-free codes are urgently needed.

This workshop is dedicated primarily to gather researchers and practitioners addressing the main challenges and share experiences in the emerging multicore and manycore software engineering and distributed programming paradigm. This workshop aims to provide a discussion forum for people interested in programming environments, models, tools and applications specifically designed for parallel multicore and manycore hardware environments.

Important Dates
Paper submission deadline :November 25, 2019
Notification of acceptance : January 15, 2020
Camera-ready papers due : February 1, 2020
Workshop day: February 22, 2020
Objectives, scope and topics of the workshop
The program committee cordially invites any novel research ideas in (but not limited to) the following topics:

programming models and systems for multicore, manycore, and clusters of multicore/manycore
parallel machine learning and AI algorithms
parallel resource management on large-scale datacenters
multicore and manycore software engineering
parallel and distributed algorithms on GPU, FPGA, and multicore clusters
parallel libraries and frameworks
performance analysis, efficiency and effectiveness
massively parallel processing on multicore/manycore systems and clusters
automated parallelization and compilation techniques
debugging and performance autotuning tools and techniques for multicore/manycore applications
parallel algorithms, applications and benchmarks on multicore/manycore systems
runtime power/energy management on multicore/manycore systems and clusters
fault tolerance and resilience
Names and contacts of key organizers
Steering Committee
Pavan Balaji
Argonne National Laboratory, USA
balaji at mcs dot anl dot gov

Minyi Guo
Shanghai Jiaotong University, China
guo-my at cs dot sjtu dot edu dot cn

Zhiyi Huang
University of Otago, New Zealand
hzy at cs dot otago dot ac dot nz

Organization co-chairs
Quan Chen
Shanghai Jiaotong University, China
chen-quan at sjtu dot edu dot cn

Zhiyi Huang
University of Otago, New Zealand
hzy at cs dot otago dot ac dot nz

Min Si
Argonne National Laboratory, USA
msi at anl dot gov

Programme Committee
Pedro Alonso Jordá, Universidad Politécnica de Valenci, Spain
Richard Barrett, Sandia National Laboratories, USA
Jesus Carretero, Universidad Carlos III de Madrid, Spain
Yong Chen, Texas Tech University, USA
Chen Ding, University of Rochester, USA
Zidong Du, ICT, Chinese Academy of Sciences, China
Andrew Ensor, Auckland University of Technology, New Zealand
Geoffrey Fox, Indiana University, USA
Minyi Guo, Shanghai Jiao Tong University, China
Qi Guo, ICT, Chinese Academy of Sciences, China
Khaled Hamidouche, AMD Research, USA
Toshihiro Hanawa, University of Tokyo, Japan
Qinfen Hao, ICT, Chinese Academy of Sciences, China
Kenneth Hawick, University of Hull, UK
Laurent Lefevre, INRIA, University of Lyon, France
Dong Li, Oak Ridge National Laboratory, USA
Chen Liu, Clarkson University, USA
Xiaoyi Lu, Ohio State University, USA
Youyou Lu, Tsinghua University, China
Jean-Marc Pierson, University of Toulouse, France
Oliver Sinnen, University of Auckland, New Zealand
Peter Strazdins, Australian National University, Australia
Liqiang Wang, University of Central Florida, USA
Bo Wu, Colorado School of Mines, USA
Yongwei Wu, Tsinghua University
Yonghong Yan, Oakland University, USA
Hailong Yang, Beihang University, China
Qing Yi, University of Colorado, USA
Esma Yildirim, Queensborough Community College of CUNY, USA
Jiangtao Yin, Cisco, USA
Wenli Zheng, Shanghai Jiao Tong University, China
Manuscript submission
Papers reporting original and unpublished research results and experience are solicited. All paper submissions will be handled electronically via EasyChair.

Papers must not exceed 10 pages in standard ACM two-column conference format (preprint mode, with page number and the 9pt template). Templates for ACM format are available for Microsoft Word, and LaTeX at here.

Authors must register and submit their paper through the online submission system. If you have problems accessing the system, e-mail your submission to:
pmam2020 at cs dot otago dot ac dot nz

All accepted papers will be published in the PMAM 2020 proceedings by the ACM Digital Library, and will be included in the Elsevier databases Scopus and Compendex (EI indexed).

Selected best papers of PMAM will be considered for publication in a special issue of CC-PE.

Information about registration at PPoPP 2020 main website.

Contact Us
For further information regarding the workshop and paper submission, please send your request or enquiry to:
pmam2020 at cs dot otago dot ac dot nz

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